Senior Machine Learning Engineer
Join a leading family history platform as a Senior Machine Learning Engineer. Design, develop, and deploy ML models, collaborate with cross-functional teams, and apply MLOps best practices. Requires strong Python, deep learning, and cloud experience. Hybrid in Or Yehuda.
Responsibilities
- Design, develop, and deploy machine learning models for various business needs.
- Collaborate with product and engineering teams to integrate ML solutions into production.
- Experiment with model architectures to improve accuracy, efficiency, and scalability.
- Preprocess and clean large datasets for model training.
- Utilize MLOps best practices to automate and streamline model lifecycle.
- Monitor and fine-tune model performance in production.
- Stay current with advances in machine learning and AI.
Requirements
- Bachelor’s or Master’s degree in CS, Statistics, Mathematics, or related field.
- 7+ years of software development experience, including 3+ years in ML.
- Strong programming skills in Python and popular ML libraries (PyTorch, TensorFlow, etc.).
- Experience with data preprocessing and feature engineering.
- Knowledge of model deployment and serving (Docker, Kubernetes, cloud).
- Familiarity with MLOps tools (MLFlow, ClearML).
- Proven track record of implementing ML solutions in production.
Nice to have
- Experience with SQL for data extraction.
- Experience in a B2C company or high-paced environment.
Benefits
- Hybrid work model.
- Modern office with shuttle service and parking.
- On-site gym and pilates classes.
- Dog-friendly office.
- Monthly meal allowance and stocked kitchens.
- Fully funded supplemental health insurance.